Efficient and Robust Automated Machine Learning

NeurIPS 2015 Matthias FeurerAaron KleinKatharina EggenspergerJost SpringenbergManuel BlumFrank Hutter

The success of machine learning in a broad range of applications has led to an ever-growing demand for machine learning systems that can be used off the shelf by non-experts. To be effective in practice, such systems need to automatically choose a good algorithm and feature preprocessing steps for a new dataset at hand, and also set their respective hyperparameters... (read more)

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